overparameterized network

Nonparametric Classification on Low Dimensional Manifolds using Overparameterized Convolutional Residual Networks NeurIPS 2024 Nonparametric Regression Using Over-parameterized Shallow ReLU Neural Networks JMLR 2024 On the Limitations of Fractal Dimension as a Measure of Generalization NeurIPS 2024 Provable Acceleration of Nesterov’s Accelerated Gradient Method over Heavy Ball Method in Training Over-Parameterized Neural Networks IJCAI 2024 The Challenges of the Nonlinear Regime for Physics-Informed Neural Networks NeurIPS 2024 The effect of Leaky ReLUs on the training and generalization of overparameterized networks AISTATS 2024 The Implicit Bias of Gradient Descent toward Collaboration between Layers: A Dynamic Analysis of Multilayer Perceptions NeurIPS 2024 From Tempered to Benign Overfitting in ReLU Neural Networks NeurIPS 2023 Generative Gradient Inversion via Over-Parameterized Networks in Federated Learning ICCV 2023 How a Student becomes a Teacher: learning and forgetting through Spectral methods NeurIPS 2023 Over-Parameterization Exponentially Slows Down Gradient Descent for Learning a Single Neuron COLT 2023 A NON-PARAMETRIC REGRESSION VIEWPOINT : GENERALIZATION OF OVERPARAMETRIZED DEEP RELU NETWORK UNDER NOISY OBSERVATIONS ICLR 2022 Benefits of Overparameterized Convolutional Residual Networks: Function Approximation under Smoothness Constraint ICML 2022 Learning and Generalization in Overparameterized Normalizing Flows AISTATS 2022 Neural Tangent Kernel Analysis of Deep Narrow Neural Networks ICML 2022 On the Convergence of Certified Robust Training with Interval Bound Propagation ICLR 2022 VC dimension of partially quantized neural networks in the overparametrized regime ICLR 2022 Does Preprocessing Help Training Over-parameterized Neural Networks? NeurIPS 2021 FL-NTK: A Neural Tangent Kernel-based Framework for Federated Learning Analysis ICML 2021 Heavy Tails in SGD and Compressibility of Overparametrized Neural Networks NeurIPS 2021 On the Provable Generalization of Recurrent Neural Networks NeurIPS 2021 Towards Understanding the Spectral Bias of Deep Learning IJCAI 2021 Understanding How Over-Parametrization Leads to Acceleration: A case of learning a single teacher neuron ACML 2021 A Generalized Neural Tangent Kernel Analysis for Two-layer Neural Networks NeurIPS 2020 Beyond Linearization: On Quadratic and Higher-Order Approximation of Wide Neural Networks ICLR 2020